Soumith Chintala
Member Of Technical Staff at Voltron Data
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSoumith Chintala is a veteran AI researcher-engineer with 15+ years building core machine learning infrastructure and production-grade research systems, currently a Member of Technical Staff in New York. He led PyTorch from its early days to industry-wide adoption, driving engineering, product and partnerships for large cross-industry deployments while maintaining deep hands‑on contributions to CUDA kernels, CuDNN bindings and performance-critical backends. Equally fluent in research and engineering, his papers on GANs (DCGAN, WGAN) and high-impact open-source work (torch, torchvision, torchaudio, convnet-benchmarks, pytorch examples/tutorials) reflect both academic rigor and practical impact measured in millions of downloads. He’s also an active angel investor and advisor across dozens of AI startups, bringing operator experience from infra to product. A practical systems thinker, he often surfaces subtle implementation fixes—like stride/non-contiguous tensor bug fixes and deterministic robotics transforms—that quietly increase reliability at scale.
15 years of coding experience
11 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at New York UniversityBachelor of Technology Information Technology, Bachelor of Technology Information Technology at VIT University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (95)
website-development10
python10
operation10
image-processing10
testing10
bash10
cmake10
c1110
datasets10
c1710
lua10
data-loading10
automation10
deep-learning10
gpu10
Programming languages (22)
Github contributions (5)
pytorch/hub
May 2019 - Sep 2020
Submission to https://pytorch.org/hub/
Role in this project:
DevOps Engineer
DevOps EngineerContributions:14 reviews, 34 commits, 48 PRs in 1 year 4 months
Contributions summary:Soumith primarily contributed to the continuous integration and continuous deployment (CI/CD) pipeline. They fixed issues related to the CI environment, added necessary dependencies like matplotlib, and managed the execution of tests. The user also addressed issues related to CUDA checkpoints and disabled/re-enabled tests for the Hugging Face integration.
pytorch
torch/distro
Jul 2014 - Jan 2018
Torch installation in a self-contained folder
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:337 commits, 87 PRs, 234 pushes in 3 years 6 months
Contributions summary:Soumith primarily focused on the creation and maintenance of an installation script for the `torch/distro` repository, which is a self-contained Torch installation. They automated the installation process by creating a shell script that handles submodule initialization, building from source with CMake, and installing various Torch-related packages using `luarocks`. They also added scripts to update the packages and run tests. Furthermore, they improved the installation procedure by handling RPATH on macOS and incorporating environment variable setup.
torchinstallationself-contained
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